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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 7904
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    Explanations

    references to specific space-related terms or concepts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to notable titles or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lobb
    -0.85
     offices
    -0.72
    eworks
    -0.72
    assies
    -0.71
     rooms
    -0.70
     establishments
    -0.69
     embassies
    -0.67
     segments
    -0.66
     chambers
    -0.66
     galleries
    -0.66
    POSITIVE LOGITS
    ainer
    0.73
    few
    0.69
    ccording
    0.67
    aver
    0.67
     approximation
    0.64
    igmatic
    0.63
    omial
    0.62
    oser
    0.62
     Called
    0.61
    statement
    0.61
    Activations Density 0.643%

    No Known Activations